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Cleaning an Orders Dataset with PySpark
Step into a data engineer's shoes and master data cleaning with PySpark on an e-commerce orders dataset!
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Project Description
Data cleaning is an essential skill for any data professional.
In this project, you will step into a role of a data engineer at an e-commerce company and use PySpark, a powerful tool for data processing, to clean an orders dataset.
This hands-on experience will sharpen your ability to format, extract and amend data for further analysis.
Project Tasks
- 1Task 1
Rufat Mustafaev
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Data Scientist, Booking.com
Rufat is a data scientist at the global travel-tech leader. He has a background in Economics and has applied data science to solve complex problems in various industries including management consulting, credit risk, fintech and foodtech.